Nonparametric estimation in one-way random effects models
作者:
David J. Groggel,
D. D. Wackerly,
P. V. Rao,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1988)
卷期:
Volume 17,
issue 3
页码: 887-903
ISSN:0361-0918
年代: 1988
DOI:10.1080/03610918808812702
出版商: Marcel Dekker, Inc.
关键词: scale parameter;Mann-Whitney;simulation;confidence interval;pseudosamples
数据来源: Taylor
摘要:
We present a rank based method for obtaining point and interval estimates of a scale version of the intraclass correlation coefficient in a one-way random effects model. When compared to the method of Arvesen and Schmitz (1970), the new method is not only applicable to a broader class of situations, but also much easier to implement. Results of a simulation study indicate that the new procedure compares favorably with the Arvesen-Schmitz procedure and the classical normal theory procedure especially If the random components have heavy tailed distributions.
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